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arXiv 2024年

作者： Crane, Eleanor Smith, Kevin C. Tomesh, Teague Eickbusch, Alec Martyn, John M. Kühn, Stefan Funcke, Lena DeMarco, Michael Austin Chuang, Isaac L. Wiebe, Nathan Schuckert, Alexander Girvin, Steven M. Department of Physics Co-Design Center for Quantum Advantage Massachusetts Institute of Technology CambridgeMA02139 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Joint Quantum Institute Joint Center for Quantum Information and Computer Science University of Maryland NIST College ParkMD20742 United States Brookhaven National Laboratory UptonNY11973 United States Yale Quantum Institute PO Box 208 334 17 Hillhouse Ave New HavenCT06520-8263 United States Departments of Applied Physics and Physics Yale University New HavenCT06511 United States Department of Computer Science Princeton University PrincetonNJ08544 United States Infleqtion ChicagoIL60604 United States Center for Theoretical Physics Massachusetts Institute of Technology CambridgeMA02139 United States The NSF AI Institute for Artificial Intelligence and Fundamental Interactions CQTA Deutsches Elektronen-Synchrotron DESY Platanenallee 6 Zeuthen15738 Germany University of Bonn Nussallee 14-16 Bonn53115 Germany Department of Computer Science University of Toronto Canada Pacific Northwest National Laboratory RichlandWA United States Canadian Institute for Advanced Studies Toronto Canada

We develop a hybrid oscillator-qubit processor framework for quantum simulation of strongly correlated fermions and bosons that avoids the boson-to-qubit mapping overhead encountered in qubit hardware. This framework gives exact decompositions of particle interactions such as density-density terms and gauge-invariant hopping, as well as approximate methods based on the Baker-Campbell Hausdorff formulas including the magnetic field term for the U(1) quantum link model in (2 + 1)D. We use this framework to show how to simulate dynamics using Trotterisation, perform ancilla-free partial error detection using Gauss's law, measure non-local observables, estimate ground state energies using a oscillator-qubit variational quantum eigensolver as well as quantum signal processing, and we numerically study the influence of hardware errors in circuit QED experiments. To show the advantages over all-qubit hardware, we perform an end-to-end comparison of the gate complexity for the gauge-invariant hopping term and find an improvement of the asymptotic scaling with the boson number cutoff S from O(log(S)2) to O(1) in our framework as well as, for bosonic matter, a constant factor improvement of better than 104. We also find an improvement from O(log(S)) to O(1) for the U(1) magnetic field term. While our work focusses on an implementation in superconducting hardware, our framework can also be used in trapped ion, and neutral atom hardware. This work establishes digital quantum simulation with hybrid oscillator-qubit hardware as a viable and advantageous method for the study of qubit-boson models in materials science, chemistry, and high-energy physics. Copyright © 2024, The Authors. All rights reserved.

关键词： Ground state

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MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation

arXiv

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arXiv 2024年

作者： Huang, Jiahao Yang, Liutao Wang, Fanwen Nan, Yang Aviles-Rivero, Angelica I. Schönlieb, Carola-Bibiane Zhang, Daoqiang Yang, Guang Bioengineering Department and Imperial-X Imperial College London London United Kingdom National Heart and Lung Institute Imperial College London London United Kingdom Cardiovascular Research Centre Royal Brompton Hospital London United Kingdom College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics China Department of Applied Mathematics and Theoretical Physics University of Cambridge United Kingdom

The recent Mamba model has shown remarkable adaptability for visual representation learning, including in medical imaging tasks. This study introduces MambaMIR, a Mamba-based model for medical image reconstruction, as well as its Generative Adversarial Network-based variant, MambaMIR-GAN. Our proposed MambaMIR inherits several advantages, such as linear complexity, global receptive fields, and dynamic weights, from the original Mamba model. The innovated arbitrary-mask mechanism effectively adapt Mamba to our image reconstruction task, providing randomness for subsequent Monte Carlo-based uncertainty estimation. Experiments conducted on various medical image reconstruction tasks, including fast MRI and SVCT, which cover anatomical regions such as the knee, chest, and abdomen, have demonstrated that MambaMIR and MambaMIR-GAN achieve comparable or superior reconstruction results relative to state-of-the-art methods. Additionally, the estimated uncertainty maps offer further insights into the reliability of the reconstruction quality. The code is publicly available at https://***/ayanglab/MambaMIR. Copyright © 2024, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

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A survey on computational intelligence techniques for non intrusive load monitoring 2

A survey on computational intelligence techniques for non in...

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2nd IEEE International Conference on Electronics, Control, Optimization and computer science, ICECOCS 2020

作者： Laouali, Inoussa Habou Qassemi, Hamid Marzouq, Manal Ruano, Antonio Bennani, Saad Dosse El Fadili, Hakim FST USMBA Intelligent Systems Georesources and Renewable Energies Laboratory Fez Morocco USMBA Computer Science and Interdisciplinary Physics Laboratory Fez Morocco Faculty of Science Technology University of Algarve Faro Portugal

ISBN: (纸本)9781728169217

Energy monitoring is one of the important points of a Home Energy Management System (HEMS) and aims to perform itemized energy detection in order to extract information on the distribution of energy consumed. This task can be accomplished by installing measuring devices at every load of interest or by using Non-Intrusive Load Monitoring (NILM) methods, which desegregate the overall electricity usage, utilizing a measure of the load at the utility service entry. In this paper, we first present a comprehensive literature review of the most important and recent computational intelligence techniques for energy disaggregation proposed in the literature. Afterward, we discuss the limitations of the studied works and then highlight challenges and guidelines for future research. © 2020 IEEE.

关键词： Information management

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Electronic and UV light programmable doping in graphene for memory applications

Electronic and UV light programmable doping in graphene for ...

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CLEO: science and Innovations, CLEO_SI 2020

作者： Frydendahl, Christian Chaitanya Indukuri, S.R.K. Grajower, Meir Mazurski, Noa Shappir, Joseph Levy, Uriel Department of Applied Physics Faculty of Science Center for Nanoscience and Nanotechnology Hebrew University of Jerusalem Jerusalem91904 Israel Thomas J. Watson Laboratory of Applied Physics California Institute of Technology PasadenaCA91125 United States

We demonstrate the integration of graphene with conventional flash memory technology. The structure allows for programmable memory by electrostatic doping in graphene. The device could also find applications in tunabl... 详细信息

ISBN: (数字)9781943580767

ISBN: (纸本)9781943580767

关键词： Graphene

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Montmorillonite-anchored magnetite nanocomposite for recovery of ammonium from stormwater and its reuse in adsorption of Sc3+

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Nanotechnology for Environmental Engineering 2021年第3期6卷 1-14页

作者： Song, Jianzhi Srivastava, Varsha Kohout, Tomas Sillanpää, Mika Sainio, Tuomo Department of Separation Science School of Engineering Science LUT University Sammonkatu 12 Mikkeli50130 Finland Department of Geosciences and Geography University of Helsinki Helsinki Finland Department of Chemical Engineering School of Mining Metallurgy and Chemical Engineering University of Johannesburg P. O. Box 17011 Doornfontein2028 South Africa School of Chemical and Metallurgical Engineering University of the Witwatersrand Johannesburg2050 South Africa Chemistry Department College of Science King Saud University Riyadh11451 Saudi Arabia Department of Biological and Chemical Engineering Aarhus University Nørrebrogade 44 Aarhus C8000 Denmark Faculty of Science and Technology School of Applied Physics University Kebangsaan Malaysia BangiSelangor43600 Malaysia Shoolini University SolanHimachal Pradesh173212 India

The treatment of stormwater to remove and recover nutrients has received increasing interest. The objective of this study was to develop a novel adsorbent that is easy to handle, has good adsorption capacity, and is economical to use. A novel nanocomposite of montmorillonite (MT)-anchored magnetite (Fe3O4) was synthesised by co-precipitation as an adsorbent for ammonium. The MT/Fe3O4 nanocomposite had pore sizes (3–13 nm) in the range of narrow mesopores. The dispersion of the anchored Fe3O4 was confirmed by transmission electron microscopy, scanning electron microscopy, and X-ray photoelectron spectroscopy (XPS). The nanocomposite exhibited higher affinity towards ammonium than the original MT. The Langmuir isotherm model was found to be the most suitable model to explain the ammonium adsorption behaviour of the nanocomposite. The maximum adsorption capacity for ammonium was 10.48 mg/g. The adsorption mechanism was a combination of ion exchange and electrostatic interaction. In an authentic stormwater sample, the synthesised adsorbent removed 64.2% of ammonium and reduced the amount of heavy metal contaminants including Mn, Ni, Cu and Zn. Furthermore, the ammonium loading on MT/Fe3O4 during adsorption functionalised the adsorbent surface. Additionally, the spent nanocomposite showed potential for rare earth elements (REEs) adsorption as a secondary application, especially for the selective adsorption of Sc3+. The versatile application of montmorillonite-anchored magnetite nanocomposite makes it a promising adsorbent for water treatment. Graphic abstract: [Figure not available: see fulltext.]. © 2021, The Author(s).

关键词： Magnetite

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CP-violating effects on gravitational waves in a complex singlet extension of the Standard Model with degenerate scalars

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Physical Review D 2022年第11期106卷 115012-115012页

作者： Gi-Chol Cho Chikako Idegawa Eibun Senaha Department of Physics Ochanomizu University Tokyo 112-8610 Japan Graduate school of Humanities and Sciences Ochanomizu University Tokyo 112-8610 Japan Subatomic Physics Research Group Science and Technology Advanced Institute Van Lang University Ho Chi Minh City Vietnam Faculty of Applied Technology School of Engineering and Technology Van Lang University Ho Chi Minh City Vietnam

We examine CP-violating effects on electroweak phase transition (EWPT) in the standard model with a complex singlet scalar focusing particularly on a scenario where additional scalars have masses close to 125 GeV. Such a high mass degeneracy makes collider signatures in the scenario standard model like, and current experimental data cannot distinguish them from the standard model predictions. We utilize a simplified scalar potential to understand impacts of CP violation on EWPT qualitatively. Then, one-loop effective potential with a thermal resummation is employed for full numerical evaluations. As a phenomenological consequence, gravitational waves from the first-order EWPT are also evaluated. We find that the strength of the first-order EWPT would get weaker as the CP-violating effect becomes larger. As a result, gravitational wave amplitudes are diminished by the size of the CP violation. Future gravitational wave experiments may shed light on CP violation in the singlet scalar sector as well as the experimental blind spot due to the high mass degeneracy.

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Development of Unmanned Cargo VTOL Aircraft 1

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59th Symposium on Engineering Modelling in Mechanics, 2020

作者： Czyba, Roman Gorol, Zbigniew Lemanowicz, Marcin Pawlak, Mariusz Sikora, Adam Faculty of Automatic Control Electronics and Computer Science Department of Automatic Control and Robotics Silesian University of Technology Akademicka Street 2A Gliwice44-100 Poland Faculty of Mechanical Engineering Department of Theoretical and Applied Mechanics Silesian University of Technology Akademicka Street 2A Gliwice44-100 Poland Faculty of Chemistry Department of Chemical Engineering and Process Design Silesian University of Technology Akademicka Street 2A Gliwice44-100 Poland

ISBN: (数字)9783030684556

ISBN: (纸本)9783030684549

The aim of the paper is to present a design cycle regarding to the construction of an unmanned cargo aircraft with own weight up to 25 kg, operating range of up to 100 km and AGL operating ceiling of up to 1 km. The task of the project team was to plan the design cycle, perform analytical calculations and CFD simulations, and finally to build an unmanned aircraft capable of lifting cargo. At the same time, a number of assumptions and technical regulations regarding constructions had to be met, which are specified in legal regulations regarding the given class of unmanned aerial vehicles. In order to achieve optimal UAV aerodynamic properties, including maximization of the payload while minimizing the own weight, aerodynamic calculations and CFD simulations were performed. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Unmanned aerial vehicles (UAV)

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Text Classification Accuracy Enhancement Using Deep Neural Networks

Text Classification Accuracy Enhancement Using Deep Neural N...

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Communication and Information technology (AICCIT), Al-Sadiq International Conference on

作者： Mobajjal Kadhim Najm Mustafa S. Aljumaily Ahmed Al-Khaleefa A. M. Ayal Dheyaa Abdulameer Mohammed Aqeel Luaibi Challoob Computer Engineering Department Faculty of Engineering Shahid Chamran University of Ahvaz Ahvaz Iran Electrical Engineering and Computer Science Department University of Tennessee Tennessee USA Department of Physics Faculty of Education University of Misan Maysan Iraq University of Misan Maysan Iraq Department of Computer Technical Engineering College of Information Technology Imam Ja’afar Al-Sadiq University Al-Muthanna Iraq Department of Computer Techniques Engineering1 Imam Al-Kadhum College (IKC) Baghdad Iraq

Machine-learning systems are part of the field of artificial intelligence that automatically learn models from data to make better decisions. Natural language processing (NLP), using object and learning approaches, performs well in statistical tasks, such as text classification or sentiment mining. Currently, in the field of natural language processing (NLP), various models, methods, and architectures have been proposed and a wide range of NLP tasks have been developed. Most natural language processing (NLP) problems can be formulated as classification problems (decide on the class of this object depending on the object and its context). In this field, machine learning methods and especially using neural network models are the most used. In this research, we propose a deep learning architecture for text classification that can influence model performance. The basic steps of this proposed method include text pre-processing (including sentence segmentation, punctuation, rooting, speech tagging, and vector conversion), text feature extraction, and LSTM algorithm-based classification model construction. The dataset used in this study is 20NewsGroup and IMDB. The evaluation results are provided in the form of MSE, Precision, Recall, Accuracy, and F-Measure evaluation criteria.

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Enhanced Solar Energy Harvest in Dye-Sensitized Solar Cells Using Silver-Doped Tio2 Photoelectrodes Via Spray Pyrolysis

SSRN

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SSRN 2025年

作者： Sritharan, Piranave Senthilnanthanan, Meena Ravirajan, Punniamoorthy Velauthapillai, Dhayalan Kumara, Gamaralalage Rajanya Asoka Palanisamy, Balraju Department of Chemistry University of Jaffna Jaffna40000 Sri Lanka Clean Energy Research Laboratory Department of Physics University of Jaffna Jaffna40000 Sri Lanka Faculty of Engineering and Science Western Norway University of Applied Sciences P.O. Box 7030 Bergen5020 Norway National Institute of Fundamental Studies Hantana Road Kandy20000 Sri Lanka Department of Physics Coimbatore Institute of Technology Tamil Nadu Coimbatore641 014 India

This study focuses on doping TiO2 with trace amounts of Ag⁺ ions, employing spray pyrolysis to prepare the Ag-doped TiO2 photoelectrode for application in Dye-Sensitized Solar Cells (DSSCs). In this regard, Ag-doped TiO2 nanomaterials were initially synthesized through rapid steam hydrolysis of Titanium(IV) isopropoxide (TTIP) with varying concentrations (1, 3, 5, and 7 mmol%) of Silver nitrate (AgNO3) followed by hydrothermal treatment. Then, the synthesized nanomaterials were coated separately on FTO glass substrates via spray pyrolysis to prepare the corresponding photoelectrodes. The structural and optical characterizations of the synthesized nanomaterials confirmed the presence of TiO2 in pure anatase phase and enhanced light absorption, respectively. The morphological characterization of Ag-doped TiO2 nanomaterials revealed spherical shaped particles. Subsequently, the DSSCs were fabricated using Ruthenium-based N719 dye and imidazolium iodide/ triiodide redox couple as the sensitizer and electrolyte, respectively. Photovoltaic performances were evaluated under simulated solar irradiation (100 mW cm−2, 1 sun, AM 1.5). The optimized device with 3 mmol% Ag-doped TiO2 photoelectrode exhibited PCE (η) of 8.32%, which was about 13% greater than the device with un-doped TiO2 (η = 7.35%). The observed upsurge in PCE is due to the 10% increase in Jsc value resulting from enhancement in visible light absorption which was confirmed by UV-Visible spectroscopic analysis. Moreover, an improved electron transport in the Ag-doped TiO2 based device was confirmed by electrochemical impedance spectroscopic studies which is ascribed to the significant reduction in charge recombination. These findings demonstrate the potential of Ag-doped TiO2 for enhanced DSSC performance, offering a viable pathway for improving solar energy conversion efficiency. © 2025, The Authors. All rights reserved.

关键词： Light absorption

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Synergistic engineering of hole transport materials in perovskite solar cells

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InfoMat 2020年第5期2卷 928-941页

作者： Sally Mabrouk Behzad Bahrami Hytham Elbohy Khan Mamun Reza Ashim Gurung Mao Liang Fan Wu Mingtai Wang Shangfeng Yang Qiquan Qiao Center for Advanced Photovoltaics Department of Electrical Engineering and Computer ScienceSouth Dakota State UniversityBrookingsSouth Dakota Physics Department Damietta UniversityNew Damietta CityEgypt Tianjin Key Laboratory of Organic Solar Cells and Photochemical Conversion Department of Applied ChemistryTianjin University of TechnologyTianjinChina Key Lab of Optoelectronic Materials and Devices School of ScienceHuzhou UniversityHuzhouChina Institute of Applied Technology Hefei Institutes of Physical ScienceChinese Academy of SciencesHefeiChina Hefei National Laboratory for Physical Sciences at Microscale CAS Key Laboratory of Materials for Energy ConversionDepartment of Materials Science and EngineeringSynergetic Innovation Center of Quantum Information and Quantum PhysicsUniversity of Science and Technology of ChinaHefeiChina

In this work,methylammonium lead triiodide(CH3NH3PbI3)perovskite solar cells with efficiencies higher than 18%were achieved using a new nanocomposite hole transport layer(HTL)by doping poly(ethylenedioxythiophene):poly(styrene sulfonate)(PEDOT:PSS)with a mixed dopant of polyaniline(PANI)and graphene oxide(GO).A synergistic engineering between GO,PANI,and PEDOT:PSS was accomplished to introduce additional energy levels between perovskite and PEDOT:PSS and increase the conductivity of PEDOT:*** probe force microscope results confirmed that adding GO to PEDOT:PSS/PANI composite significantly reduced the average surface *** increased the open circuit voltage(Voc)to 1.05 V for the GO/PEDOT:PSS/PANI nanocomposite perovskite solar cells from the pristine PEDOT:PSS(Voc=0.95 V)and PEDOT:PSS/PANI(Voc=0.99 V).In addition,adding PANI to the HTLs substantially enhanced short circuit current density(Jsc).This was supported by the current sensing-atomic force microscopy(CS-AFM)and conductivity *** PANI doped films showed superior electrical conductivity compared with those without PANI as indicated by CS-AFM *** can fill the gaps between the microflakes of GO and give rise to more compact hole transport material(HTM)*** led to a higher Jsc after doping with PANI,which was consistent with the incident photon-to-current efficiency and electrochemical impedance spectroscopy *** results of X-ray diffraction(XRD)and AFM indicated the GO/PANI doped HTMs significantly improved the crystallinity,topography,and crystal size of the perovskite film grown on their surface.A higher efficiency of 18.12%for p-i-n perovskite solar cells has been obtained by adding the mixed dopant of GO,PANI,and PEDOT:PSS,demonstrating better stability than the pristine PEDOT:PSS cell.

关键词： composite hole transport material perovskite solar cell polyaniline and graphene oxide

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